A. V. Pechinkin
- Management Information Systems top 2%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Management Science and Operations Research top 5%
- Control and Systems Engineering
- Co-authors
- P. P. BocharovCiro D’ApiceRosanna ManzoSaverio SalernoI. AtenciaSergey ShorginYuliya GaidamakaEduard Sopin
- Topics
- Advanced Queuing Theory Analysis (22 papers)Advanced Data Processing Techniques (7 papers)Scheduling and Optimization Algorithms (5 papers)
- Cited by
- Management Information SystemsComputer Networks and CommunicationsManagement Science and Operations Research
- Journals
- Annals of Operations ResearchComputational Management ScienceTheory of Probability and Its Applications
In The Last Decade
A. V. Pechinkin
26 papers receiving 406 citations
Peers
Comparison fields: 5 of 64
- Management Information Systems 260
- Computer Networks and Communications 203
- Electrical and Electronic Engineering 112
- Management Science and Operations Research 105
- Control and Systems Engineering 50
Countries citing papers authored by A. V. Pechinkin
This map shows the geographic impact of A. V. Pechinkin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A. V. Pechinkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. V. Pechinkin more than expected).
Fields of papers citing papers by A. V. Pechinkin
This network shows the impact of papers produced by A. V. Pechinkin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by A. V. Pechinkin. The network helps show where A. V. Pechinkin may publish in the future.
Co-authorship network of co-authors of A. V. Pechinkin
This figure shows the co-authorship network connecting the top 25 collaborators of A. V. Pechinkin. A scholar is included among the top collaborators of A. V. Pechinkin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. V. Pechinkin. A. V. Pechinkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 25 | |
| 15 | 26 | |
| 16 | Queueing Theory | 292 |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 4 |
About A. V. Pechinkin
A. V. Pechinkin is a scholar working on Management Information Systems, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 27 papers that have together received 445 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (22 papers), Advanced Data Processing Techniques (7 papers) and Scheduling and Optimization Algorithms (5 papers). The work is most often cited by research in Management Information Systems (260 citations), Computer Networks and Communications (203 citations) and Management Science and Operations Research (105 citations). A. V. Pechinkin has collaborated with scholars based in Russia, Italy and Spain. Frequent co-authors include P. P. Bocharov, Ciro D’Apice, Rosanna Manzo, Saverio Salerno, I. Atencia, Sergey Shorgin, Yuliya Gaidamaka, Eduard Sopin and Konstantin Samouylov. Their work appears in journals such as Annals of Operations Research, Computational Management Science and Theory of Probability and Its Applications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.